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509 lines
16 KiB
509 lines
16 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['1211_EDA.ipynb',\n",
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" '1214_EDA.ipynb',\n",
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" '1214_transition&offset.ipynb',\n",
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" '1220_EDA.ipynb',\n",
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" 'hstr5039.csv',\n",
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" 'readme.txt',\n",
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" 'soitdintsgrp.csv',\n",
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" 'soitdintsgrpinfo.csv',\n",
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" 'soitdintsphasinfo.csv',\n",
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" 'soitdopermap3.csv',\n",
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" 'soitdopermap4.csv',\n",
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" 'soitdphasrevt.csv',\n",
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" 'soitdsgnlctrr.csv',\n",
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" 'soitdsgnlotptdrct.csv',\n",
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" 'soitdspdydayplan.csv',\n",
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" 'soitdspotintsinfo.csv',\n",
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" 'soitdspotintsoperhstr.csv',\n",
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" 'soitdspotintsoperhstr_202312110900.csv',\n",
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" 'soitdspotintsstts.csv',\n",
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" 'soitdspotintsstts_202312111238.csv',\n",
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" 'soitdspotintsstts_202312131616.csv',\n",
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" 'soitdtimeplan.csv',\n",
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" 'soitdtimeplan_202312131620.csv',\n",
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" 'soitdtodcnfg.csv',\n",
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" 'soitdtodplan.csv',\n",
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" 'soitdwklyplan.csv',\n",
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" 'soitsintssgnlcnfginfo.csv',\n",
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" 'soitsintssgnlcnfginfotmdiff.csv',\n",
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" 'soitsnode.csv',\n",
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" 'soitsphasinfo.csv',\n",
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" 'soitsphasinfotmdiff.csv',\n",
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" 'soitsrgnprttninfo.csv',\n",
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" 'soitssmlnflfmthstr.csv',\n",
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" 'soitsspotintstmdiff.csv',\n",
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" 'stts_select.png']"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"os.listdir('../../../../SNITS_RealTimeSignals/Archive/Incheon/incheon_tables/1211/')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'0'"
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]
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},
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"execution_count": 34,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df = pd.read_csv('../../../../SNITS_RealTimeSignals/Archive/Incheon/incheon_tables/1211/soitdtimeplan.csv', index_col=0, encoding = 'CP949')\n",
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"df = df[1:]\n",
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"df[' 주기시간'].min()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>시간계획번호</th>\n",
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" <th>현시운영번호</th>\n",
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" <th>현시운영계획번호</th>\n",
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" <th>수집유닉스시각</th>\n",
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" <th>수집일시</th>\n",
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" <th>주기시간</th>\n",
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" <th>옵셋시간</th>\n",
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" <th>A링1현시시간</th>\n",
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" <th>A링2현시시간</th>\n",
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" <th>A링3현시시간</th>\n",
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" <th>...</th>\n",
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" <th>A링7현시시간</th>\n",
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" <th>A링8현시시간</th>\n",
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" <th>B링1현시시간</th>\n",
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" <th>B링2현시시간</th>\n",
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" <th>B링3현시시간</th>\n",
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" <th>B링4현시시간</th>\n",
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" <th>B링5현시시간</th>\n",
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" <th>B링6현시시간</th>\n",
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" <th>B링7현시시간</th>\n",
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" <th>B링8현시시간</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>현장교차로ID</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>5031</th>\n",
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" <td>20231211</td>\n",
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" <td>140</td>\n",
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" <td>37</td>\n",
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" <td>37</td>\n",
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" <td>16</td>\n",
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" <td>27</td>\n",
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" <td>2</td>\n",
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" <td>1702220405</td>\n",
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" <th>5031</th>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>3</td>\n",
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" <td>1702220405</td>\n",
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" <td>20231211</td>\n",
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" <td>28</td>\n",
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" <td>43</td>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>4</td>\n",
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" <td>1</td>\n",
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" <td>3</td>\n",
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" <td>5</td>\n",
|
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" <td>1702220405</td>\n",
|
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" <td>20231211</td>\n",
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" <td>10</td>\n",
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" <td>10</td>\n",
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" <th>5047</th>\n",
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" <th>5047</th>\n",
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" <td>10</td>\n",
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" <th>5047</th>\n",
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" <td>10</td>\n",
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|
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"</table>\n",
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"<p>2720 rows × 23 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" 시간계획번호 현시운영번호 현시운영계획번호 수집유닉스시각 수집일시 주기시간 옵셋시간 A링1현시시간 \\\n",
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"현장교차로ID \n",
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"5031 1 1 1 1702220405 20231211 140 37 37 \n",
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"5031 1 2 2 1702220405 20231211 150 40 40 \n",
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"5031 1 2 3 1702220405 20231211 150 28 43 \n",
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"5031 1 2 4 1702220405 20231211 150 30 44 \n",
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"5031 1 3 5 1702220405 20231211 160 35 43 \n",
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"... ... ... ... ... ... ... ... ... \n",
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"5047 10 5 12 1702220405 20231211 0 10 25 \n",
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"5047 10 5 13 1702220405 20231211 0 10 25 \n",
|
|
"5047 10 6 14 1702220405 20231211 0 10 25 \n",
|
|
"5047 10 6 15 1702220405 20231211 0 10 25 \n",
|
|
"5047 10 6 16 1702220405 20231211 0 10 25 \n",
|
|
"\n",
|
|
" A링2현시시간 A링3현시시간 ... A링7현시시간 A링8현시시간 B링1현시시간 B링2현시시간 B링3현시시간 \\\n",
|
|
"현장교차로ID ... \n",
|
|
"5031 16 27 ... 0 0 37 16 27 \n",
|
|
"5031 20 27 ... 0 0 40 20 27 \n",
|
|
"5031 18 27 ... 0 0 43 18 27 \n",
|
|
"5031 17 27 ... 0 0 44 17 27 \n",
|
|
"5031 25 27 ... 0 0 43 25 27 \n",
|
|
"... ... ... ... ... ... ... ... ... \n",
|
|
"5047 25 25 ... 0 0 25 25 25 \n",
|
|
"5047 25 25 ... 0 0 25 25 25 \n",
|
|
"5047 25 25 ... 0 0 25 25 25 \n",
|
|
"5047 25 25 ... 0 0 25 25 25 \n",
|
|
"5047 25 25 ... 0 0 25 25 25 \n",
|
|
"\n",
|
|
" B링4현시시간 B링5현시시간 B링6현시시간 B링7현시시간 B링8현시시간 \n",
|
|
"현장교차로ID \n",
|
|
"5031 25 35 0 0 0 \n",
|
|
"5031 28 35 0 0 0 \n",
|
|
"5031 27 35 0 0 0 \n",
|
|
"5031 27 35 0 0 0 \n",
|
|
"5031 30 35 0 0 0 \n",
|
|
"... ... ... ... ... ... \n",
|
|
"5047 25 0 0 0 0 \n",
|
|
"5047 25 0 0 0 0 \n",
|
|
"5047 25 0 0 0 0 \n",
|
|
"5047 25 0 0 0 0 \n",
|
|
"5047 25 0 0 0 0 \n",
|
|
"\n",
|
|
"[2720 rows x 23 columns]"
|
|
]
|
|
},
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"df"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "rts",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.10"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|